crime concentration index

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To summarize • The CCI is a good addition to the analyst’s toolbox • It is flexible and adaptable to the problem at hand • Applies well to tactical, strategic, and administrative analysis tasks • Overcomes some of the problems with traditional <strong>crime</strong> measures
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Using Crime Concentration Indices i
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The map is not the territory. -Alfr
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Our Fair City
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± 0 1 2 4 Miles
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Crime Count Example LAX Inglewood-L
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Display as Graduated Colors ± Homi
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Selection: 184 Tracts Area in Sq Mi
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Illustration Dark & Bram, 2007
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Crime rates standardize crime count
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Crime rate Crime Rates Count of cri
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In ArcGIS, create a new Field • S
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Using the Field Calculator • This
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This is the LAX Tank Farm & support
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The Location Quotient • Location
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Unemployment Example LQ UE 12 local
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Crime Concentration Index • Both
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The original reference Brantingham,
Page 37 and 38: Robbery in Roanoke: Concentration b
Page 40: Use a spatial join to create a Coun
Page 44 and 45: Populate the new field…
Page 46 and 47: Add a new field for the CCI • We
Page 48 and 49: The Formula: CCI Robbery C C BG BG
Page 50 and 51: The Sorted CCIs
Page 52 and 53: Interpretation • The two highest
Page 54 and 55: ± 0 1 2 4 Miles Robbery Concentrat
Page 56 and 57: The Problem • The Commander of th
Page 58 and 59: The Process • First, develop a la
Page 60 and 61: The Field Calculator
Page 62: 1.663018 1.465418 1.297896 0.519309
Page 65 and 66: Neighborhood Organizations • Like
Page 67 and 68: Generating the Neighborhood CCI •
Page 69 and 70: The CCI Formula CCI ( Robbery AreaS
Page 71 and 72: The Results Only 10 out of the 41 a
Page 73 and 74: Drilling down for a micro-spatial a
Page 75 and 76: Getting started • Using the “Go
Page 77 and 78: Finish it up • Do a spatial join
Page 79 and 80: An application to a linear analysis
Page 81 and 82: PALM MELROSE FOREST PARK OLIVE LAFA
Page 83 and 84: The Results CCI (Robberies close to
Page 85 and 86: The Results • But, to be realisti
Page 87: The Alternative • Using a 755-foo
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